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root mean sq anom ∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies ] : ∂T Covar. u and specific hum data
root mean sq anom ∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies ] .Independent Variables (Grids)
- P
- grid: /P (mb) ordered [ (962.5) (887.5) (775.0) (650.0) (550.0) (450.0) (350.0)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Feb 1949) to (Jan 2023) by 1.0 N= 888 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- CBUQ
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 192
- gribvariable
- 192
- PDS_TimeRange
- 113
- pointwidth
- 1.0
- process
- 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
- PTVersion
- 2
- subcenter
- NCEP Ensemble Products
- units
- 12 meter second-1 year-1
- history
- root mean sq anom $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies ]
- Averaged over T2[1949, 2022]
Averaged over X[0, 2.5W]
- Averaged over T2[1949, 2022]
References
Redland error: BDB V4.1+ open of '/ingrid-tmp/referencelist-sp2o.db' failed - Permission deniedLast updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours| P | T | Y | |
 root mean sq anom $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies ] [ Y | P T] | M | M | M |
|---|
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along Y P T
- Differentiate along Y P T
- Take differences along Y P T
RMS (root mean square with mean *not* removed) over Y P T | Y P Y T P T | Y P T |
RMSA (root mean square with mean removed) over Y P T | Y P Y T P T | Y P T |
Maximum over Y P T | Y P Y T P T | Y P T |
Minimum over Y P T | Y P Y T P T | Y P T |
Detrend (best-fit-line) over Y P T | Y P Y T P T | Y P T |
Note on units